{"title":"Complex Network Analysis of a Tourism Content Sharing Network","authors":"A. Becheru, C. Bǎdicǎ, Mihaita Antonie","doi":"10.1109/SYNASC.2015.67","DOIUrl":null,"url":null,"abstract":"This paper presents results of the analysis of a tourism information Web-site (AmFostAcolo.ro) by using Complex Networks (CN) methods. The work accomplished here complements a previous paper, where we discussed data extraction and modelling into a complex network. Properties of the resulted network, communities and vertices are looked upon, in order to extract useful information and detect social phenomena. Temporal analysis methods are employed for examining the evolution of the web-site. The results obtained prove the natural development of the Web-site and the usefulness of CN analysis methods in this scenario.","PeriodicalId":6488,"journal":{"name":"2015 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)","volume":"50 1 1","pages":"407-414"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SYNASC.2015.67","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract
This paper presents results of the analysis of a tourism information Web-site (AmFostAcolo.ro) by using Complex Networks (CN) methods. The work accomplished here complements a previous paper, where we discussed data extraction and modelling into a complex network. Properties of the resulted network, communities and vertices are looked upon, in order to extract useful information and detect social phenomena. Temporal analysis methods are employed for examining the evolution of the web-site. The results obtained prove the natural development of the Web-site and the usefulness of CN analysis methods in this scenario.
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